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Openapi Documentation

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dengineproblem·vlatest·backend

Generates API documentation from OpenAPI specifications, streamlining development and improving understandability for developers.

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This skill no longer installs under the name openapi-documentation. dengineproblem/agents-monorepo is deleted or private, so it cannot be installed from.

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dengineproblem

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About this skill

What it does

This skill enables AI agents to generate, validate, and maintain OpenAPI specifications for RESTful APIs. It automates the creation of comprehensive documentation that defines endpoints, request/response schemas, and authentication methods.

When to use it

  • Onboarding new developers: Quickly provide a standardized reference guide for team members joining a project with existing API codebases.
  • Client handoffs: Generate professional API documentation before delivering an internal tool or SaaS product to external stakeholders.
  • Codebase auditing: Automatically detect missing endpoint descriptions or inconsistent data types in legacy code without manual review.
  • Swagger UI integration: Prepare raw OpenAPI YAML or JSON files for immediate consumption by Swagger UI or ReDoc viewers.

Key capabilities

  • Parses existing API implementations to extract endpoint logic and parameters.
  • Generates human-readable documentation from structured OpenAPI definitions.
  • Validates schema consistency across request bodies, responses, and headers.
  • Supports standard formats including YAML and JSON for easy integration with CI/CD pipelines.

Example prompts

  • "Generate an OpenAPI 3.0 specification for a user authentication service based on these endpoint descriptions."
  • "Validate my existing OpenAPI document against the latest schema standards and list all errors."
  • "Convert this Python FastAPI application into a complete OpenAPI JSON file with full parameter documentation."

Tips & gotchas

Ensure your source code includes clear function docstrings or inline comments, as the skill relies on these to infer accurate API behavior. For complex nested objects, manually verify generated schemas to prevent data type mismatches in production environments.